It is part of HSE University’s mission to react effectively to today’s challenges formulated by the evolution of the subject field itself, as well as focus on rising demand on the part of public institutions for quality R&D work, especially in the fields of Computer Science and new IT. In this respect, the University is eager to take research activities in other subject fields to the next level through reliance on recent advancements in Computer Science and IT.
Over recent years, the world has seen explosive growth in research on AI and machine learning, largely stemming from the progress in such areas as the development of effective methods for training artificial neural networks, as well as the appearance of massive data sets and development of computational devices, which has allowed to boost the total volume of calculations considerably. The high quality of research carried out at HSE University in this field is confirmed, in particular, by yearly papers presented at top conferences (ICML, NeurIPS, UAI, etc.), as well as successful laboratory activities in partnership with companies like Samsung (research at the junction of deep learning and Bayesian methods) and Sberbank (research on data analysis in financial technologies). In addition, HSE University has a long-standing partnership with the European Organization for Nuclear Research (CERN) with respect to carrying out more effective Big Data processing with the application of machine-learning methods. With this in mind, the University aims to become one of the Top-3 Russian institutions engaged in R&D activities with the use of AI technologies.
Other key R&D areas where HSE University has certain accomplishments include algorithms and computation complexity, natural language processing, bioinformatics, distributed computing, supercomputer technologies and the “Internet of things”. With respect to these areas, the University has already started up research laboratories, as well as certain Master’s programmes.
The University plans to ensure its superior position with respect to the area at the intersection of computer technologies and a wide range of socio-economic and natural science disciplines. A particular focus in research will gradually shift towards various methods for data collection, aggregation and verification, utilizing powerful computer tools for data analysis and, as a result, the generation of high-quality, more accurate and reproducible results. In turn, the majority of degree programmes will be expanded through utilizing skills and competence in Computer Science. Furthermore, HSE University is carrying out the Data Culture project, whereby the respective curricula of degree programmes include designated courses on digital literacy, basic and advanced methods for data processing.
In addition, the current research agenda, developments, learning processes and student project work shall be integrated into HSE University’s objectives to implement a model of the digital university. The University is becoming both a client, developer and testing ground for the use of advanced computer technologies for such purposes as administration, organizing educational processes and enrolment analytics. As a result, the University will ensure its leadership in the development of the latest models of digital methodological packages.
Furthermore, HSE University plans to place great emphasis on developing an ecosystem of leading industrial partners around research laboratories and teams. This network may include, for instance, Yandex, Sberbank, Samsung, 1C, Huawei, Jetbrains, Sclumberger, etc. The University’s belt of technological partners will allow to saturate educational processes with up-to-date topics, while also synchronizing educational content with the demand for the skills and knowledge on the part of particular sectors, as well as offering effective facilities for students’ practice-oriented research work.